基于私有云数据处理关键技术的研究与应用

发布时间：2018-03-07 06:17

本文选题：私有云　切入点：协同编辑　出处：《北京工业大学》2014年硕士论文　论文类型：学位论文

【摘要】：随着云服务体系的逐渐成熟，云计算以各种各样的形式影响着每个行业。改变着人们的生活方式，企业的管理模式，政府的服务途径。人们能获取的信息由很少迅速变成了供给远远大于需求，而重要的信息也作为一种资源，有着越来越高的价值。为了构建庞大的数据管理系统，，实现资源的高度共享，又要保证数据的隐私性，成本的低廉性，所以私有云应运而生。现在私有云系统已经越来越成熟，它的功能也越来越完善，它的价值也得到了大多数个人和企业的认可。对于私有云系统中的数据处理无疑是这个系统的核心，对于现在的社会来讲，如何在现有的硬件条件下，提高数据处理的能力，提升数据的资源利用率，增强数据的安全性，简化数据的管理成本是具有非常现实的实用意义和经济意义。如果再将技术用在现在更为流行的移动端上，就更具有实际意义。本文主要针对私有云数据处理中的关键技术进行研究，首先重点介绍了三种基本技术：分布式技术，虚拟化技术，云存储技术。绝大多数的功能得以实现，都要靠这三种技术。接着研究了数据的协同编辑问题，给出了基于时间节点操作转换的协作机制，解决了如何能够实现多人在不同地域对同一数据文件进行协同操作的问题。并对私有云中数据安全机制进行了研究，同时也对安全模式，常用的数据隔离方法，一定的数据加密算法进行了研究。通过上面研究的两种关键技术结合现在火热的移动端设备再次进行深入的研究，发现通过类似的算法可以解决移动私有云上的数据文件同步问题，并对移动端上的数据安全进行研究，提出了对称整数同态算法的身份验证和基于矩阵变化的加密算法。最后将类似的技术用于对私有云数据管理系统的设计与实现，使设计出来的私有云系统具备一定的云存储，云同步的功能，同时将存储数据分为了公共存储数据和私人存储数据，并对私人存储数据进行了一定的加密，有一定的实用价值，并提出了更科学，更健康的私有云服务模式。
[Abstract]:With the gradual maturity of cloud service system, cloud computing affects every industry in various forms. It changes the way people live and the management mode of enterprises. The way the government services. The information that people can get quickly becomes the supply is far greater than the demand, and the important information is becoming more and more valuable as a kind of resource. In order to build the huge data management system, Private cloud emerges as the times require. Now the private cloud system has become more and more mature, and its function is becoming more and more perfect. Its value has also been recognized by most individuals and businesses. The data processing in the private cloud system is undoubtedly the core of this system. For the present society, how to improve the ability of data processing, improve the utilization of data resources, and enhance the security of data under the existing hardware conditions, Simplifying the cost of data management is of great practical and economic significance. It is even more practical if the technology is applied to the more popular mobile terminal. In this paper, the key technologies of private cloud data processing are studied. Firstly, three basic technologies are introduced: distributed technology, virtualization technology, cloud storage technology. Then, the cooperative editing problem of data is studied, and the cooperative mechanism based on the operation transformation of time node is given. This paper solves the problem of how to realize the cooperative operation of the same data file in different areas, and studies the security mechanism of data in the private cloud. At the same time, it also studies the security mode and the commonly used data isolation method. A certain data encryption algorithm is studied. Through the two key technologies studied above and combined with the hot mobile devices, it is found that the problem of data file synchronization on mobile private cloud can be solved by a similar algorithm. The security of data on mobile terminal is studied, and the identity verification of symmetric integer homomorphism algorithm and the encryption algorithm based on matrix change are proposed. Finally, the similar technology is applied to the design and implementation of private cloud data management system, so that the designed private cloud system has the functions of cloud storage and cloud synchronization. At the same time, the stored data is divided into public storage data and private storage data, and the private stored data is encrypted, which has certain practical value, and puts forward a more scientific and healthy private cloud service mode.
【学位授予单位】：北京工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP393.09

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